Erin A. Teeple

The paper inhibits Elovl1 in a mouse model of ALD to reduce VLCFA accumulation, finding it corrects lipid pathways but also causes unexpected transcriptional changes.

This study investigates how scRNA-seq data can predict the clinical success of drug targets by analyzing cell type and disease-specific expression patterns.

The paper shows microglia are susceptible to ferroptosis in neurodegenerative diseases and identifies SEC24B and small molecules that regulate this process.

The paper profiles single nuclei from human putamen in Parkinson's Disease and Multiple System Atrophy, revealing disease-specific oligodendrocyte heterogeneity and gene expression changes.

The paper constructs a single-cell atlas of human putamen tissue from healthy controls, Parkinson's Disease, and Multiple System Atrophy to identify cell-type specific disease changes.

The paper analyzes single-cell RNA-seq data from COVID-19 patients to identify the lysosomal-immune axis as a factor associated with disease severity.

This paper computes a genome-wide polygenic risk score for Parkinson's Disease using 6.2 million variants and finds it strongly associates with increased disease risk and earlier onset.

The paper identifies a conserved SNCA co-expression module in human brain single-nucleus RNA-seq data and links it to Parkinson's Disease risk loci through protein-protein interaction networks and CRISPR validation.